Role purpose
Financial Crime Detection (FCD) focuses on the analysis of specific financial crime threats the firm faces now and, in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the harms associated with financial crime. It harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. The team is involved in providing best-in-class analytical solutions to the Financial Crime function used across Latin America lines of businesses and countries which are adhered not only to a number of internal frameworks, policies and controls but also governed by local regulations; therefore, the function is also partnering with other areas in Compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance.
Main activities
The role holder is accountable for leading the development and monitoring of FC analytical models aimed at mitigating the harms associated with financial crime. In this role. Targeted remit and responsibilities include, but not limited to:
Conceiving, development, testing, and validation of models to improve the management of financial crime risk.Identify emerging risk and issues through the use of the models.Ensuring that the models developed within the function continues to be optimised and operating within the risk appetite expectations.Provide model users, senior management, audit regulators with confidence that the models and tools developed, maintained, and used within the function are compliant with internal and regulatory expectations and fit for the intended purpose.Follow up of internal and external findings within risk appetite (Internal Observations, MSII, IMR, Assurance, Audit, External Regulators).Conduct a well written documents and reports (e.g., structure, language, clarity, precision, and articulation of observations) to ensure an add value to the business communication.Desing and implementation of new internal processes to allow team efficiencies in business-as-usual activities, identifying areas of innovation in model development.Liaison with other Global development teams to ensure consistency across HSBC subsidiaries.The nature of the role requires intermediate - advance mathematical and programming background oriented to data analysis.Role purpose
Financial Crime Detection (FCD) focuses on the analysis of specific financial crime threats the firm faces now and, in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the harms associated with financial crime. It harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. The team is involved in providing best-in-class analytical solutions to the Financial Crime function used across Latin America lines of businesses and countries which are adhered not only to a number of internal frameworks, policies and controls but also governed by local regulations; therefore, the function is also partnering with other areas in Compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance.
Main activities
The role holder is accountable for leading the development and monitoring of FC analytical models aimed at mitigating the harms associated with financial crime. In this role. Targeted remit and responsibilities include, but not limited to:
Conceiving, development, testing, and validation of models to improve the management of financial crime risk.Identify emerging risk and issues through the use of the models.Ensuring that the models developed within the function continues to be optimised and operating within the risk appetite expectations.Provide model users, senior management, audit regulators with confidence that the models and tools developed, maintained, and used within the function are compliant with internal and regulatory expectations and fit for the intended purpose.Follow up of internal and external findings within risk appetite (Internal Observations, MSII, IMR, Assurance, Audit, External Regulators).Conduct a well written documents and reports (e.g., structure, language, clarity, precision, and articulation of observations) to ensure an add value to the business communication.Desing and implementation of new internal processes to allow team efficiencies in business-as-usual activities, identifying areas of innovation in model development.Liaison with other Global development teams to ensure consistency across HSBC subsidiaries.The nature of the role requires intermediate - advance mathematical and programming background oriented to data analysis.Advanced statistical, analytical and mathematical education knowledge. (Degree level or above)Advance English (Required) Advance SAS, R, Python programing (Required)An excellent understanding of the current regulatory environment and expectations, relevant regulations, codes, and HSBC Group Standards, as well as their underlying purpose to mitigate risk to the financial system and provide information useful for the public sector to provide law enforcement and security.Advanced knowledge in one or mor of the following areas: Financial Crime Models, Data Analytics/Data science, AI/ML methodologies, supervised/unsupervised learning, data visualization and statistical model development techniquesProven experience in developing models throughout the full model lifecycle.High ability for problem solving, innovation and generation of new ideasHigh ability to clearly articulate complex statistical concepts and results to technical and non-technical audiences in a persuasive and compelling manner.Work in a rapidly changing regulatory environment and with a dynamic model delivery schedule, often within short timescales. Knowledge of key external stakeholders, their priorities and initiatives, and their impacts on the businesses.Strong interpersonal skills with the high ability to communicate effectively with senior leaders in Financial Crime, the business, and the regulator representatives (High level of stakeholder management).Highly motivated self-starter with proven ability to work collaboratively within teams and to deliver on time.Deep expertise and experience in mitigating the harms associated with the threat of financial crime through the use of analytical solutions.High ability to write in both English and Spanish Internal and Regulatory documentationHSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
Advanced statistical, analytical and mathematical education knowledge. (Degree level or above)Advance English (Required) Advance SAS, R, Python programing (Required)An excellent understanding of the current regulatory environment and expectations, relevant regulations, codes, and HSBC Group Standards, as well as their underlying purpose to mitigate risk to the financial system and provide information useful for the public sector to provide law enforcement and security.Advanced knowledge in one or mor of the following areas: Financial Crime Models, Data Analytics/Data science, AI/ML methodologies, supervised/unsupervised learning, data visualization and statistical model development techniquesProven experience in developing models throughout the full model lifecycle.High ability for problem solving, innovation and generation of new ideasHigh ability to clearly articulate complex statistical concepts and results to technical and non-technical audiences in a persuasive and compelling manner.Work in a rapidly changing regulatory environment and with a dynamic model delivery schedule, often within short timescales. Knowledge of key external stakeholders, their priorities and initiatives, and their impacts on the businesses.Strong interpersonal skills with the high ability to communicate effectively with senior leaders in Financial Crime, the business, and the regulator representatives (High level of stakeholder management).Highly motivated self-starter with proven ability to work collaboratively within teams and to deliver on time.Deep expertise and experience in mitigating the harms associated with the threat of financial crime through the use of analytical solutions.High ability to write in both English and Spanish Internal and Regulatory documentationHSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.